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Data Scientist Internship Jobs in Raleigh, NC (NOW HIRING)

Syngenta

Computational Agronomy Scientist

Durham, NC

It may include day-to-day direction of interns and contractors but does not include direct line ... Identify data requirements, gaps, quality concerns, fitness limitations, and sources of uncertainty.

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All JobsData Scientist JobsData Scientist Internship JobsData Scientist Internship Jobs in Raleigh, NC

Data Scientist Internship information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do data scientist internship jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data scientist internship in Raleigh, NC is $160,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,200.00 per year, depending on experience, location, and employer.

What is a data scientist internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What kind of projects and tasks can I expect to work on during a data scientist internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What are the qualifications to get a data scientist internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

What is the difference between Data Scientist Internship vs Data Analyst Internship?

AspectData Scientist InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

What do you do as a data scientist internship?

A data scientist intern assists in analyzing data, developing models, and generating insights to support business decisions. They often work with tools like Python, R, or SQL and may be involved in data cleaning, visualization, and reporting under supervision. The internship provides practical experience in data analysis and machine learning techniques.
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Data Scientist Internship jobs near you
Infographic showing various Data Scientist Internship job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

Data Engineer 1, Operational Technology - Operations #4941

GRAIL

Durham, NC • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine's greatest challenges.
GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.
For more information, please visit grail.com
As a Data Engineer on the Operational Technology team, you will build and maintain the data pipelines that connect GRAIL's lab instruments, automation systems, and operational platforms to a trusted, well modeled data foundation. You will own well scoped ingestion and transformation pipelines end to end, partnering with systems engineers, lab operations, data scientists, and automation engineers to keep data flowing reliably from the lab floor to the analytics and AI systems that depend on it. This is a hands-on role for an engineer who is ready to take ownership of real data infrastructure and grow quickly in a fast paced, regulated environment. Expect to work alongside a talented and highly motivated team that moves quickly.
This role is based on-site in RTP, North Carolina, Monday through Friday. The position participates in an on-call rotation and may occasionally require weekend or holiday support for production incidents, maintenance, or critical deployments.
Responsibilities:
  • Build and maintain data pipelines that ingest and integrate information from laboratory instruments, automation systems, sequencers, operational platforms, APIs, autonomous robotics platforms, databases and file based data sources.
  • Support downstream analytics, reporting, and AI systems by delivering clean, trustworthy datasets and timely data extracts for troubleshooting, root-cause investigations and platform improvements.
  • Develop and optimize SQL and transformation logic to cleanse, standardize, and model raw instrument and production data into reliable, well structured datasets.
  • Build and support datasets and data models used by operational dashboards, analytics, process monitoring, troubleshooting, and governed AI enabled workflows.
  • Implement orchestration, testing, monitoring and alerting so that data failures, freshness issues, schema changes, and incomplete processing are identified early.
  • Implement data validation and quality checks to ensure datasets are accurate, complete, and reliable.
  • Document pipelines, data models, and datasets to support reproducibility and compliance with ISO, CLIA, CAP, NYS, GMP, and FDA requirements.
  • Continuously improve your technical skills and the team's engineering practices.

Required Qualifications:
  • Degree in Computer Science, Mathematics, Software Engineering, Data Science, Life Sciences, Physics or similar field.
  • 1+ years of relevant professional, internship, academic, or project experience in data engineering, analytics engineering, software development, or a related field, or equivalent practical experience.
  • Proficiency in SQL.
  • Working proficiency with one or more programming languages, such as Python, Rust, C++, or similar.
  • Basic understanding of ETL or ELT pipelines, relational databases, and structured or semi-structured data.
  • Strong attention to detail and a commitment to data quality, reliability and accuracy.
  • Ability to collaborate effectively in teams of technical and non-technical individuals, and comfortable working in a rapidly changing environment with dynamic objectives and fast iteration.
  • Ability to investigate technical problems methodically, continuously learn and communicate clearly.
  • A highly analytical mindset and eagerness to solve technical problems.

Preferred Qualifications:
  • Familiarity with data pipeline orchestration and transformation tools such as Airflow, dbt, or comparable technologies.
  • Familiarity with cloud data platforms, object storage and warehouses such as AWS S3, Redshift, Glue, Snowflake or comparable technologies.
  • Familiarity integrating AI/agentic tooling into the data engineering SDLC.
  • Experience with semantic data modeling, data lineage, and automated data quality testing.
  • Familiarity with statistical methods or basic process analytics.
  • Exposure to manufacturing, clinical laboratory operations, diagnostics, or biotechnology.
  • Experience with version control systems such as Git and collaborative development practices.
  • Basic understanding of APIs, file transfers, networking and system integrations.

The expected, full-time, annual base pay scale for this position is $86K - $106K. Actual base pay will consider skills, experience, and location.
This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate's qualifications. Employees in this role are also eligible for GRAIL's comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.
GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at [email protected] if you require an accommodation to apply for an open position.
GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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